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for socially intelligent embodied agents. The central idea is to build predictive models that jointly represent people, the surrounding environment, and the actions of the embodied agent. Information from video
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to an international, interdisciplinary doctoral network. Excellent written and spoken English and strong scientific writing skills. Experience with EU biodiversity or sustainability policy, spatial modelling, social
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
models of social systems. The project will build an open-source pipeline using large language models, retrieval-augmented generation, and software-testing methods to generate, prioritize, implement, and
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. This will involve a collaborative approach to working with modellers analysing modelling practices within their multiple institutional, social, and epistemic contexts and identifying opportunities
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria dell'Impresa Mario Lucertini | Italy | 3 months ago
Description The project proposes a theoretical and methodological study on multi-relational modeling of large-scale social networks using graph representation learning techniques. The objective is to
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accepted by the intended users due to their limited capabilities to sustain long-term interactions. In this project we propose to develop compositional vision-language models for social robots, enabling them
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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The Department of Geosciences and Natural Resource Management invites applications for a 3-year full time postdoctoral position on the development and application of models, to simulate
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materials over large distances while reducing energy and cost. This project will form a deeper understanding of material interactions within this system by developing a numerical model of the interactions
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, and policy domains to ensure impactful delivery of research outputs. The Aviation Impact Accelerator (AIA) uses a combination of physics-based and data-driven modelling to develop its first-order models